backend-patterns

Backend patterns for scalable APIs include repository and service layers for data access, RESTful design conventions for routing, and structured error handling. These patterns separate business logic from data access to ensure maintainability and testability across microservices.

Structure a service layer by encapsulating business logic and orchestrating repository calls. Implement the repository pattern to handle data access, ensuring controllers manage routing and DTOs while the service layer handles predictable error flows and scalable architecture.

Yes, these backend patterns apply to microservices and data-intensive backends across various technology stacks. The guidance covers scalable architecture, caching layers for read-heavy endpoints, and authentication strategies suitable for distributed service environments.

The best way to handle errors and caching in a RESTful API is to implement structured error handling strategies for reliable flows and add caching layers specifically for read-heavy endpoints. This ensures predictable service orchestration and consistent API responses.

You need a repository pattern for data access when building a new microservice that requires clean separation between business logic and data sources. This pattern enforces testability and maintainable code through documented data access conventions.